Hybrid expert system aiding design of post-mining regions restoration

Ecological Engineering

Volumn 36, Issue 10, 2010, Pages 1232-1241

  Bielecka, Marzena ^a   Król Korczak, Jadwiga ^b  

^a AGH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Poland)

^b State Mining Authority   (Poland)

Author keywords

Decision support; Expert system; Fuzzy inference; Post mining terrains restoration

Indexed keywords

COMPLEX CONNECTIONS; DECISION SUPPORT; DECISION SUPPORTS; FUZZY DECISION SUPPORT SYSTEM; HYBRID EXPERT SYSTEM; OPEN-CAST MINING; POST-MINING TERRAINS RESTORATION;

ARTIFICIAL INTELLIGENCE; DECISION MAKING; DECISION SUPPORT SYSTEMS; DECISION THEORY; FUZZY INFERENCE; LANDFORMS; RESTORATION;

EXPERT SYSTEMS;

COMPUTER AIDED DESIGN; DECISION MAKING; ENVIRONMENTAL RESTORATION; EXPERT SYSTEM; FUZZY MATHEMATICS; LAND RECLAMATION; MINE; TERRAIN;

POLAND;

EID: 77955554950     PISSN: 09258574     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecoleng.2010.04.023     Document Type: Article

References (25)

1. Agarwal K., Shanker S. Management of postmining land and ISO 14000 for Indian mines. Proceedings of the National Seminar on Environmental Engineering with Special Emphasis on Mining Environment 2004, 19-20.
2. Andres P., Mateos E. Soil mesofaunal responses to post-mining restoration treatments. Appl. Soil Ecol. 2006, 33:67-78.
3. Bell L.C. Establishment of native ecosystems after mining Australian experience across diverse biogeographic zones. Ecol. Eng. 2001, 17:179-186.
4. Brown M.T. Landscape restoration following phosphate mining: 30 years of co-evolution of science, industry and regulation. Ecol. Eng. 2005, 24:309-329.
5. Chow M., Tram H. Application of fuzzy logic technology for spatial load forecasting. IEEE Trans. Power Syst. 1997, 12:1360-1366.
6. Cloke P., Milbourne P., Thomas C. From wasteland to wonderland: opencast mining, regeneration and the English National Forest. Geoforum 1996, 27:159-174.
7. Coppin N.J., Bradshaw A.D. Quarry Reclamation 1982, Mining Journal Books, London.
8. Evans K.G., Willgoose G.R. Post-mining landform evolution modelling: 2. Effects of vegetation and surface ripping. Earth Surf. Process Landf. 2000, 25:803-823.
9. Evans K.G., Willgoose G.R., Saynor M.J., Riley S.J. Post-mining landform evolution modelling. I. Derivation of sediment transport model and rainfall-runoff model parameters. Earth Surf. Process Landf. 2000, 25:743-763.
10. Glen M. The changing role of opencast coal restoration in landscape regeneration. Miner. Plann. 1994, 38:29-31.
11. Hancock G.R. The use of landscape evolution models in mining rehabilitation design. Environ. Geol. 2004, 46:561-573.
12. Hancock G.R., Willgoose G.R., Evans K.G., Moliere D.R., Saynor M.J. Medium term erosion simulation of an abandoned mine site using the SIBERIA landscape evolution model. Aust. J. Soil Res. 2000, 38:249-263.
13. Hendrychová M. Reclamation success in post-mining landscapes in the Czech Republic: a review of pedological and biological studies. J. Landsc. Stud. 2008, 1:63-78.
14. Jang J.S.R., Sun C.T., Mizutani E. Neuro-Fuzzy and Soft Computing. A Computational Approach to Learning and Machine Intelligence 1997, Simon & Schuster, London.
15. Mamdani E.H. Applications of fuzzy algorithms for control of simple dynamic plant. Proc. IEEE 1974, 121:1585-1588.
16. Mamdani E.H. Application of fuzzy logic to approximate reasoning using linguistic synthesis. Proc. Sixth Int. Symposium on Multiple-Valued Logic 1976, 196-202.
17. Parrotta J.A., Knowles O.H. Restoring tropical forests on lands mined for bauxite: examples from the Brazilian Amazon. Ecol. Eng. 2001, 17:219-239.
18. Prach K., Pyšek P., Šmilauer P. Prediction of vegetation succession in human-disturbed habitats using in expert systems. Restor. Ecol. 1999, 7:15-23.
19. Ricks G. Closure Considerations in Environmental Impact Statements 1995, Minerals Industry International, London.
20. Schaaf W. What can element budgets of false-time series tell us about ecosystem development on post-lignite mining sites?. Ecol. Eng. 2001, 17:241-252.
21. Sklenička P., Lhota T. Landscape heterogeneity-a quantitative criterion for landscape reconstruction. Landsc. Urban Plann. 2002, 58:147-156.
22. Sklenička P., Přikryl I., Svoboda I., Lhota T. Non-productive principles of landscape rehabilitation after long-term open-cast mining in Northwest Bohemia. S. Afr. Inst. Min. Metall. J. 2004, 104:83-88.
23. Uberman R., Ostre{ogonek}ga A. Applying the Analytic Hierarchy Process in the Revitalisation of Post-mining Areas Field 2005, ISAHP, Honolulu, Hawaii, July 8-10.
24. Wiegleb G., Felinks B. Primary succession in post-mining landscapes of lower Lusatia-chance or necessity. Ecol. Eng. 2001, 17:199-217.
25. Zadeh L. Fuzzy sets. Inform. Control 1965, 8:338-353.